Prateek Gupta's Books

B ENGLISH : Complete and Organised Spoken English & Personality Development Course in 12 Weeks (Volume-1)

By: Mr. Prateek Gupta

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B ENGLISH : Complete and Organised Spoken English & Personality Development Course in 12 Weeks (Volume-1)

By: Mr. Prateek Gupta

British School Of Languages is here with the best study material for you to learn Spoken English in just 12 weeks! B English is your guide to improve your communication skills with well-researched and latest pattern of English Language. The Book is divided into 3 volumes and covers all the professional upfronts such as Interview Etiquettes, Presentation Etiquettes, blog writing, etc along with all essential topics such as Grammar- Tenses, prepositions, Articles, Active and Passive Voice, Conjunctions and many more along with a distinctive vocabulary to add words to your dictionary. The book is planned in a way that will help you conquer the cooperate world as well as your Entrance exams like IELTS and TOEFL. About BSL :- British School of Language is an institute which uplifts the students from the core level of the English language. Quality assessments and training is more crucial for our teachers rather than quantitative assessment. Our experienced trainers understand the learning style, strengths and weaknesses of the students and make the study patterns feasible. You are Just a step away to step-in the world’s best English speaking course.

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212

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EduGorilla Community Pvt. Ltd.

Published Date

ISBN 10

9355560176

ISBN 13

9789355560179

B ENGLISH : Complete and Organised Spoken English & Personality Development Course in 12 Weeks (Volume-3)

By: Mr. Prateek Gupta

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B ENGLISH : Complete and Organised Spoken English & Personality Development Course in 12 Weeks (Volume-3)

By: Mr. Prateek Gupta

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172

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EduGorilla Community Pvt. Ltd.

Published Date

ISBN 10

9355560192

ISBN 13

9789355560193

B ENGLISH : Complete and Organised Spoken English & Personality Development Course in 12 Weeks (Volume-2)

By: Mr. Prateek Gupta

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B ENGLISH : Complete and Organised Spoken English & Personality Development Course in 12 Weeks (Volume-2)

By: Mr. Prateek Gupta

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172

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EduGorilla Community Pvt. Ltd.

Published Date

ISBN 10

9355560184

ISBN 13

9789355560186

Data Science with Jupyter

By: Gupta Prateek

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Data Science with Jupyter

By: Gupta Prateek

Step-by-step guide to practising data science techniques with Jupyter notebooksKey features Acquire Python skills to do independent data science projects Learn the basics of linear algebra and statistical science in Python way Understand how and when they're used in data science Build predictive models, tune their parameters and analyze performance in few steps Cluster, transform, visualize, and extract insights from unlabelled datasets Learn how to use matplotlib and seaborn for data visualization Implement and save machine learning models for real-world business scenarios Description Modern businesses are awash with data, making data driven decision-making tasks increasingly complex. As a result, relevant technical expertise and analytical skills are required to do such tasks. This book aims to equip you with just enough knowledge of Python in conjunction with skills to use powerful tool such as Jupyter Notebook in order to succeed in the role of a data scientist. The book starts with a brief introduction to the world of data science and the opportunities you may come across along with an overview of the key topics covered in the book. You will learn how to setup Anaconda installation which comes with Jupyter and preinstalled Python packages. Before diving in to several supervised, unsupervised and other machine learning techniques, you'll learn how to use basic data structures, functions, libraries and packages required to import, clean, visualize and process data. Several machine learning techniques such as regression, classification, clustering, time-series etc have been explained with the use of practical examples and by comparing the performance of various models. By the end of the book, you will come across few case studies to put your knowledge to practice and solve real-life business problems such as building a movie recommendation engine, classifying spam messages, predicting the ability of a borrower to repay loan on time and time series forecasting of housing prices. Remember to practice additional examples provided in the code bundle of the book to master these techniques.Who this book is forThe book is intended for anyone looking for a career in data science, all aspiring data scientists who want to learn the most powerful programming language in Machine Learning or working professionals who want to switch their career in Data Science. While no prior knowledge of Data Science or related technologies is assumed, it will be helpful to have some programming experience.Table of contents1. Data Science Fundamentals2. Installing Software and Setting up3. Lists and Dictionaries4. Function and Packages5. NumPy Foundation6. Pandas and Dataframe7. Interacting with Databases8. Thinking Statistically in Data Science9. How to import data in Python?10. Cleaning of imported data11. Data Visualization12. Data Pre-processing13. Supervised Machine Learning14. Unsupervised Machine Learning15. Handling Time-Series Data16. Time-Series Methods 17. Case Study - 118. Case Study - 219. Case Study - 320. Case Study - 4About the authorPrateek is a Data Enthusiast and loves the data driven technologies. Prateek has total 7 years of experience and currently he is working as a Data Scientist in an MNC. He has worked with finance and retail clients and has developed Machine Learning and Deep Learning solutions for their business. His keen area of interest is in natural language processing and in computer vision. In leisure he writes posts about Data Science with Python in his blog.

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323

Publisher

BPB Publications

Published Date

ISBN 10

9389423708

ISBN 13

9789389423709

Air Pollution: Science, Engineering and Management Fundamentals

Science, Engineering and Management Fundamentals

By: Mukesh Khare,Prateek Sharma,Sri Harsha Kota,Sumanth Chinthala

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Air Pollution: Science, Engineering and Management Fundamentals

Science, Engineering and Management Fundamentals

By: Mukesh Khare,Prateek Sharma,Sri Harsha Kota,Sumanth Chinthala

This comprehensive and up-to-date textbook discusses fundamental aspects of air pollution with the help of solved and case examples within the chapter and review questions at the end of each chapter. The textbook discusses in depth the entire domain of air pollution, from the fundamentals, sources, types, effects, associated risks, ecology, meteorology, climatology, sampling, monitoring and instrumentation, laboratory quality control, data analysis and interpretation, modelling, control technologies and indoor air pollution, to the latest principles of air quality management and legislation, regulations and standards. This book: Covers fundamentals of air pollution, the atmosphere, air pollution meteorology, effects and control of air pollution Discusses engineering aspects of air quality management and includes concepts of ecology, growth, and sustainable development in the context of air pollution Explains air pollution mitigation philosophies, legislation, regulations, and standards Comprehensively discusses topics including air quality monitoring, sampling, air quality modelling and air quality data analysis Includes case examples for better understanding of the topics and solution manual for the benefit of instructors The text will be useful for senior undergraduate and post-graduate students in the fields of science and engineering. Pedagogical features including solution manual will be uploaded on the website.

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467

Publisher

CRC Press

Published Date

ISBN 10

1040115969

ISBN 13

9781040115961

The Unique Indian Market

Doing Business in India

By: Prateek Jain

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The Unique Indian Market

Doing Business in India

By: Prateek Jain

India and its market are highly complex and even the native people face challenges in understanding it; leave aside the foreigners. India is a highly heterogeneous country with marked differences in everything, including business. It is quite usual for people to get perplexed and puzzled by the diversity of India and the variations existing in its market. A proper understanding of the history, culture, and society of a country is a pre-requisite for achieving success in doing business in that country. This book provides you with a broad overview of India and the Indian market with a lot of on-ground practical information. This book is meant for entrepreneurs and Small & Medium Enterprises (SMEs) who want to do business in India. It will be of great use to the foreign entrepreneurs and SMEs who want to do business in India and also the Indian entrepreneurs and SMEs who want to expand to the national level from the local or regional level. This book will also be of interest to those who have good local or regional knowledge about India but want to know more about India at the national level. They will discover some lesser-known aspects of the Indian market and will come to know about many new things which they never knew about India. This is among the best times to do business in India. Opportunities and possibilities exist in all areas and transitions are taking place fast. It’s high time that foreign as well as Indian entrepreneurs and SMEs explore this vast country and its market. The only requirement is to appreciate the uniqueness existing in the Indian market and act accordingly. About the Author: Dr. Prateek Jain is a Management and Strategy Professional with a work experience of more than 23 years. He has done his PhD from IIT Delhi, MBA from IIM Lucknow and BE from Mangalore University. He runs his own Consulting and Training organization, which works in the area of entrepreneurship and Small & Medium Enterprises (SMEs). Among other activities, his organization also facilitates business relations between Indian and foreign entrepreneurs and SMEs, and works with them with regards to India and do their hand-holding in the Indian market. He is based at Noida (Delhi NCR).

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222

Publisher

Notion Press

Published Date

ISBN 10

163606602X

ISBN 13

9781636066028

Python Machine Learning Cookbook

By: Prateek Joshi

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Python Machine Learning Cookbook

By: Prateek Joshi

100 recipes that teach you how to perform various machine learning tasks in the real world About This Book Understand which algorithms to use in a given context with the help of this exciting recipe-based guide Learn about perceptrons and see how they are used to build neural networks Stuck while making sense of images, text, speech, and real estate? This guide will come to your rescue, showing you how to perform machine learning for each one of these using various techniques Who This Book Is For This book is for Python programmers who are looking to use machine-learning algorithms to create real-world applications. This book is friendly to Python beginners, but familiarity with Python programming would certainly be useful to play around with the code. What You Will Learn Explore classification algorithms and apply them to the income bracket estimation problem Use predictive modeling and apply it to real-world problems Understand how to perform market segmentation using unsupervised learning Explore data visualization techniques to interact with your data in diverse ways Find out how to build a recommendation engine Understand how to interact with text data and build models to analyze it Work with speech data and recognize spoken words using Hidden Markov Models Analyze stock market data using Conditional Random Fields Work with image data and build systems for image recognition and biometric face recognition Grasp how to use deep neural networks to build an optical character recognition system In Detail Machine learning is becoming increasingly pervasive in the modern data-driven world. It is used extensively across many fields such as search engines, robotics, self-driving cars, and more. With this book, you will learn how to perform various machine learning tasks in different environments. We'll start by exploring a range of real-life scenarios where machine learning can be used, and look at various building blocks. Throughout the book, you'll use a wide variety of machine learning algorithms to solve real-world problems and use Python to implement these algorithms. You'll discover how to deal with various types of data and explore the differences between machine learning paradigms such as supervised and unsupervised learning. We also cover a range of regression techniques, classification algorithms, predictive modeling, data visualization techniques, recommendation engines, and more with the help of real-world examples. Style and approach You will explore various real-life scenarios in this book where machine learning can be used, and learn about different building blocks of machine learning using independent recipes in the book.

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304

Publisher

Packt Publishing Ltd

Published Date

ISBN 10

1786467682

ISBN 13

9781786467683

Brecht in India

The Poetics and Politics of Transcultural Theatre

By: Dr. Prateek

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Brecht in India

The Poetics and Politics of Transcultural Theatre

By: Dr. Prateek

Brecht in India analyses the dramaturgy and theatrical practices of the German playwright Bertolt Brecht in post-independence India. The book explores how post-independence Indian drama is an instance of a cultural palimpsest, a site celebrating a dialogue between Western and Indian theatrical traditions, rather than a homogenous and isolated canon. Analysing the dissemination of a selection of Brecht’s plays in the Hindi belt between the 1960s and the 1990s, this study demonstrates that Brecht’s work provided aesthetic and ideological paradigms to modern Hindi playwrights, helping them develop and stage a national identity. The book also traces how the reception of Brecht was mediated in India, how it helped post-independence Indian playwrights formulate a political theatre, and how the dissemination of Brechtian aesthetics in India addressed the anxiety related to the stasis in Brechtian theatre in Europe. Tracking the dialogue between Brechtian aesthetics in India and Europe and a history of deliberate cultural resistance, Brecht in India is an invaluable resource for academics and students of theatre studies and theatre historiography, as well as scholars of post-colonial history and literature.

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299

Publisher

Routledge

Published Date

ISBN 10

1000222497

ISBN 13

9781000222494

Happy Holidays!

By: Prateek Surana

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Happy Holidays!

By: Prateek Surana

Are we really living the life that we had intended to live or are we simply doing away with our social responsibilities? Do we have a life that defines our dreams or are our lives defined by the small moments of impact that leave ripple effects on our existence? Particularly for a woman of the modern era, can the average girl really go on and become who she wants to be and do what she wants to do! Or do the demands of society keep playing games with her?

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149

Publisher

Partridge Publishing

Published Date

ISBN 10

1482856891

ISBN 13

9781482856897

OpenCV with Python By Example

By: Prateek Joshi

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OpenCV with Python By Example

By: Prateek Joshi

Build real-world computer vision applications and develop cool demos using OpenCV for Python About This Book Learn how to apply complex visual effects to images using geometric transformations and image filters Extract features from an image and use them to develop advanced applications Build algorithms to help you understand the image content and perform visual searches Who This Book Is For This book is intended for Python developers who are new to OpenCV and want to develop computer vision applications with OpenCV-Python. This book is also useful for generic software developers who want to deploy computer vision applications on the cloud. It would be helpful to have some familiarity with basic mathematical concepts such as vectors, matrices, and so on. What You Will Learn Apply geometric transformations to images, perform image filtering, and convert an image into a cartoon-like image Detect and track various body parts such as the face, nose, eyes, ears, and mouth Stitch multiple images of a scene together to create a panoramic image Make an object disappear from an image Identify different shapes, segment an image, and track an object in a live video Recognize an object in an image and build a visual search engine Reconstruct a 3D map from images Build an augmented reality application In Detail Computer vision is found everywhere in modern technology. OpenCV for Python enables us to run computer vision algorithms in real time. With the advent of powerful machines, we are getting more processing power to work with. Using this technology, we can seamlessly integrate our computer vision applications into the cloud. Web developers can develop complex applications without having to reinvent the wheel. This book will walk you through all the building blocks needed to build amazing computer vision applications with ease. We start off with applying geometric transformations to images. We then discuss affine and projective transformations and see how we can use them to apply cool geometric effects to photos. We will then cover techniques used for object recognition, 3D reconstruction, stereo imaging, and other computer vision applications. This book will also provide clear examples written in Python to build OpenCV applications. The book starts off with simple beginner's level tasks such as basic processing and handling images, image mapping, and detecting images. It also covers popular OpenCV libraries with the help of examples. The book is a practical tutorial that covers various examples at different levels, teaching you about the different functions of OpenCV and their actual implementation. Style and approach This is a conversational-style book filled with hands-on examples that are really easy to understand. Each topic is explained very clearly and is followed by a programmatic implementation so that the concept is solidified. Each topic contributes to something bigger in the following chapters, which helps you understand how to piece things together to build something big and complex.

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296

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Packt Publishing Ltd

Published Date

ISBN 10

178528987X

ISBN 13

9781785289873

Python Machine Learning Cookbook

Over 100 recipes to progress from smart data analytics to deep learning using real-world datasets, 2nd Edition

By: Giuseppe Ciaburro,Prateek Joshi

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Python Machine Learning Cookbook

Over 100 recipes to progress from smart data analytics to deep learning using real-world datasets, 2nd Edition

By: Giuseppe Ciaburro,Prateek Joshi

Discover powerful ways to effectively solve real-world machine learning problems using key libraries including scikit-learn, TensorFlow, and PyTorch Key FeaturesLearn and implement machine learning algorithms in a variety of real-life scenariosCover a range of tasks catering to supervised, unsupervised and reinforcement learning techniquesFind easy-to-follow code solutions for tackling common and not-so-common challengesBook Description This eagerly anticipated second edition of the popular Python Machine Learning Cookbook will enable you to adopt a fresh approach to dealing with real-world machine learning and deep learning tasks. With the help of over 100 recipes, you will learn to build powerful machine learning applications using modern libraries from the Python ecosystem. The book will also guide you on how to implement various machine learning algorithms for classification, clustering, and recommendation engines, using a recipe-based approach. With emphasis on practical solutions, dedicated sections in the book will help you to apply supervised and unsupervised learning techniques to real-world problems. Toward the concluding chapters, you will get to grips with recipes that teach you advanced techniques including reinforcement learning, deep neural networks, and automated machine learning. By the end of this book, you will be equipped with the skills you need to apply machine learning techniques and leverage the full capabilities of the Python ecosystem through real-world examples. What you will learnUse predictive modeling and apply it to real-world problemsExplore data visualization techniques to interact with your dataLearn how to build a recommendation engineUnderstand how to interact with text data and build models to analyze itWork with speech data and recognize spoken words using Hidden Markov ModelsGet well versed with reinforcement learning, automated ML, and transfer learningWork with image data and build systems for image recognition and biometric face recognitionUse deep neural networks to build an optical character recognition systemWho this book is for This book is for data scientists, machine learning developers, deep learning enthusiasts and Python programmers who want to solve real-world challenges using machine-learning techniques and algorithms. If you are facing challenges at work and want ready-to-use code solutions to cover key tasks in machine learning and the deep learning domain, then this book is what you need. Familiarity with Python programming and machine learning concepts will be useful.

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632

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Packt Publishing Ltd

Published Date

ISBN 10

1789800757

ISBN 13

9781789800753

Artificial Intelligence with Python

Your complete guide to building intelligent apps using Python 3.x, 2nd Edition

By: Alberto Artasanchez,Prateek Joshi

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Artificial Intelligence with Python

Your complete guide to building intelligent apps using Python 3.x, 2nd Edition

By: Alberto Artasanchez,Prateek Joshi

New edition of the bestselling guide to artificial intelligence with Python, updated to Python 3.x, with seven new chapters that cover RNNs, AI and Big Data, fundamental use cases, chatbots, and more. Key FeaturesCompletely updated and revised to Python 3.xNew chapters for AI on the cloud, recurrent neural networks, deep learning models, and feature selection and engineeringLearn more about deep learning algorithms, machine learning data pipelines, and chatbotsBook Description Artificial Intelligence with Python, Second Edition is an updated and expanded version of the bestselling guide to artificial intelligence using the latest version of Python 3.x. Not only does it provide you an introduction to artificial intelligence, this new edition goes further by giving you the tools you need to explore the amazing world of intelligent apps and create your own applications. This edition also includes seven new chapters on more advanced concepts of Artificial Intelligence, including fundamental use cases of AI; machine learning data pipelines; feature selection and feature engineering; AI on the cloud; the basics of chatbots; RNNs and DL models; and AI and Big Data. Finally, this new edition explores various real-world scenarios and teaches you how to apply relevant AI algorithms to a wide swath of problems, starting with the most basic AI concepts and progressively building from there to solve more difficult challenges so that by the end, you will have gained a solid understanding of, and when best to use, these many artificial intelligence techniques. What you will learnUnderstand what artificial intelligence, machine learning, and data science areExplore the most common artificial intelligence use casesLearn how to build a machine learning pipelineAssimilate the basics of feature selection and feature engineeringIdentify the differences between supervised and unsupervised learningDiscover the most recent advances and tools offered for AI development in the cloudDevelop automatic speech recognition systems and chatbotsApply AI algorithms to time series dataWho this book is for The intended audience for this book is Python developers who want to build real-world Artificial Intelligence applications. Basic Python programming experience and awareness of machine learning concepts and techniques is mandatory.

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619

Publisher

Packt Publishing Ltd

Published Date

ISBN 10

1839216077

ISBN 13

9781839216077

OpenCV By Example

By: Prateek Joshi,David Millan Escriva,Vinicius Godoy

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OpenCV By Example

By: Prateek Joshi,David Millan Escriva,Vinicius Godoy

Enhance your understanding of Computer Vision and image processing by developing real-world projects in OpenCV 3 About This Book Get to grips with the basics of Computer Vision and image processing This is a step-by-step guide to developing several real-world Computer Vision projects using OpenCV 3 This book takes a special focus on working with Tesseract OCR, a free, open-source library to recognize text in images Who This Book Is For If you are a software developer with a basic understanding of Computer Vision and image processing and want to develop interesting Computer Vision applications with Open CV, this is the book for you. Knowledge of C++ is required. What You Will Learn Install OpenCV 3 on your operating system Create the required CMake scripts to compile the C++ application and manage its dependencies Get to grips with the Computer Vision workflows and understand the basic image matrix format and filters Understand the segmentation and feature extraction techniques Remove backgrounds from a static scene to identify moving objects for video surveillance Track different objects in a live video using various techniques Use the new OpenCV functions for text detection and recognition with Tesseract In Detail Open CV is a cross-platform, free-for-use library that is primarily used for real-time Computer Vision and image processing. It is considered to be one of the best open source libraries that helps developers focus on constructing complete projects on image processing, motion detection, and image segmentation. Whether you are completely new to the concept of Computer Vision or have a basic understanding of it, this book will be your guide to understanding the basic OpenCV concepts and algorithms through amazing real-world examples and projects. Starting from the installation of OpenCV on your system and understanding the basics of image processing, we swiftly move on to creating optical flow video analysis or text recognition in complex scenes, and will take you through the commonly used Computer Vision techniques to build your own Open CV projects from scratch. By the end of this book, you will be familiar with the basics of Open CV such as matrix operations, filters, and histograms, as well as more advanced concepts such as segmentation, machine learning, complex video analysis, and text recognition. Style and approach This book is a practical guide with lots of tips, and is closely focused on developing Computer vision applications with OpenCV. Beginning with the fundamentals, the complexity increases with each chapter. Sample applications are developed throughout the book that you can execute and use in your own projects.

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297

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Packt Publishing Ltd

Published Date

ISBN 10

1785287079

ISBN 13

9781785287077

Getting Started with Web Components

Build modular and reusable components using HTML, CSS and JavaScript

By: Prateek Jadhwani

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Getting Started with Web Components

Build modular and reusable components using HTML, CSS and JavaScript

By: Prateek Jadhwani

Explore modern Web Component design and integrate them with a variety of web frameworks to build encapsulated reusable UI components for your web apps Key FeaturesLearn Web Components with more than 50 web component examples for both beginners and advanced usersCreate responsive and highly customizable web pages using HTML, CSS, and JavaScriptExtend the potential of Web Components by integrating them with standard web frameworksBook Description Web Components are a set of APIs that help you build reusable UI modules that can operate in any modern browser using just Vanilla JavaScript. The power of Web Components lies in their ability to build frontend web applications with or without web frameworks. With this practical guide, you will understand how Web Components can help you build reusable UI components for your modern web apps. The book starts by explaining the fundamentals of Web Components' design and strategies for using them in your existing frontend web projects. You will also learn how to use JavaScript libraries such as Polymer.js and Stencil.js for building practical components. As you progress, you will build a single-page application using only Web Components to fully realize their potential. This practical guide demonstrates how to work with Shadow DOM and custom elements to build the standard components of a web application. Toward the end of the book, you will learn how to integrate Web Components with standard web frameworks to help you manage large-scale web applications. By the end of this book, you will have learned about the capabilities of Web Components in building custom elements and have the necessary skills for building a reusable UI for your web applications. What you will learnUnderstand Web Component design, specifications, and life cycleCreate single-page applications using Web ComponentsEnable reusability and customization for your UI componentsImplement Web Components in your web apps using Polymer and Stencil librariesBuild powerful frontend components from scratch and deploy them on the webDesign patterns and best practices to integrate Web Components into your existing web applicationWho this book is for This book is for developers who have heard about web components, but don't really know where to start. This book is also for intermediate and advanced developers who know what web components are, but are still afraid to use them in production. This book is also for frontend engineers who are simply looking into web components in order to increase their knowledge and skills.

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153

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Packt Publishing Ltd

Published Date

ISBN 10

1838640037

ISBN 13

9781838640033

Artificial Intelligence with Python

By: Prateek Joshi

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Artificial Intelligence with Python

By: Prateek Joshi

Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on it In Detail Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! Style and approach This highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application.

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437

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Packt Publishing Ltd

Published Date

ISBN 10

1786469677

ISBN 13

9781786469670

Practical Data Science with Jupyter

Explore Data Cleaning, Pre-processing, Data Wrangling, Feature Engineering and Machine Learning using Python and Jupyter (English Edition)

By: Prateek Gupta

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Practical Data Science with Jupyter

Explore Data Cleaning, Pre-processing, Data Wrangling, Feature Engineering and Machine Learning using Python and Jupyter (English Edition)

By: Prateek Gupta

Solve business problems with data-driven techniques and easy-to-follow Python examples Ê KEY FEATURESÊÊ _ Essential coverage on statistics and data science techniques. _ Exposure to Jupyter, PyCharm, and use of GitHub. _ Real use-cases, best practices, and smart techniques on the use of data science for data applications. DESCRIPTIONÊÊ This book begins with an introduction to Data Science followed by the Python concepts. The readers will understand how to interact with various database and Statistics concepts with their Python implementations. You will learn how to import various types of data in Python, which is the first step of the data analysis process. Once you become comfortable with data importing, you willÊ clean the dataset and after that will gain an understanding about various visualization charts. This book focuses on how to apply feature engineering techniques to make your data more valuable to an algorithm. The readers will get to know various Machine Learning Algorithms, concepts, Time Series data, and a few real-world case studies. This book also presents some best practices that will help you to be industry-ready. This book focuses on how to practice data science techniques while learning their concepts using Python and Jupyter. This book is a complete answer to the most common question that how can you get started with Data Science instead of explaining Mathematics and Statistics behind the Machine Learning Algorithms. WHAT YOU WILL LEARN _ Rapid understanding of Python concepts for data science applications. _ Understand and practice how to run data analysis with data science techniques and algorithms. _ Learn feature engineering, dealing with different datasets, and most trending machine learning algorithms. _ Become self-sufficient to perform data science tasks with the best tools and techniques. Ê WHO THIS BOOK IS FORÊÊ This book is for a beginner or an experienced professional who is thinking about a career or a career switch to Data Science. Each chapter contains easy-to-follow Python examples. Ê TABLE OF CONTENTS 1. Data Science Fundamentals 2. Installing Software and System Setup 3. Lists and Dictionaries 4. Package, Function, and Loop 5. NumPy Foundation 6. Pandas and DataFrame 7. Interacting with Databases 8. Thinking Statistically in Data Science 9. How to Import Data in Python? 10. Cleaning of Imported Data 11. Data Visualization 12. Data Pre-processing 13. Supervised Machine Learning 14. Unsupervised Machine Learning 15. Handling Time-Series Data 16. Time-Series Methods 17. Case Study-1 18. Case Study-2 19. Case Study-3 20. Case Study-4 21. Python Virtual Environment 22. Introduction to An Advanced Algorithm - CatBoost 23. Revision of All ChaptersÕ Learning

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